Sagang Takougoum Le Bienfaiteur: h-index, Total Citations, and Citation Map
Sagang Takougoum Le Bienfaiteur's h-index is 9 (9 i10-index, 369+ total citations across 37+ publications) according to Google Scholar as of May 2026. Sagang Takougoum Le Bienfaiteur is affiliated with University of California, Los Angeles (UCLA).
Sagang Takougoum Le Bienfaiteur is a researcher affiliated with University of California, Los Angeles (UCLA), specializing in Forest Ecology, Forest Carbon, Earth Observation. Their work has been cited 369 times. This profile visualizes their global influence, highlighting strong citation networks in United Kingdom.
Sagang Takougoum Le Bienfaiteur's Citation Metrics
Bibliometric impact based on 37 indexed publications.
- H-Index
- 9
- i10-Index
- 9
- Total Citations
- 369
- Citing Countries
- 20
As of May 2026.
Sagang Takougoum Le Bienfaiteur has an h-index of 9 and 369 total citations across 37 publications, with research cited by institutions in 20 countries.
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Top Cited Works
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Mapping tropical forest degradation with deep learning and Planet NICFI data
202384
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Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
The researcher developed a deep learning framework using Planet NICFI data to map tropical forest degradation, establishing a scalable method for monitoring environmental change.
The researcher developed a method using volume-weighted average wood specific gravity to reduce bias in aboveground biomass predictions from forest volume data.
The researcher developed a method to correct terrestrial laser mass estimations by integrating plant functional strategy signatures into wood density profiles of African trees.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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